Replication Materials for "Do States Constrain Non-State Hackers? International Telecommunication Union Elections and Non-State Cyber Aggression"
Conner Joyce

The replication package is divided into several subfolders. 

- "raw_data" contains EuRepoC, Zone-H, and GCI data files before processing
- "process_scripts" contains the R scripts needed to clean the raw data files
- "data" folder all cleaned and processed data files used in analysis 
- "append_scripts" contains all R scripts needed to replicate supplementary analysis
- "man_scripts" contains all R scripts needed to replicate manuscript analysis

Replication instructions: 

"manuscript_replication.R" in "man_scripts" folder will reproduce all tables and figures in manuscript. Set working directory to location where "replication" folder is saved before running. Tables will print to the console. Figures will be saved to output folder.

"appendix_replication.R" in "append_scripts" folder will reproduce all tables and figures in supplementary materials.  Set working directory to location where "replication" folder is saved before running. Tables will print to the console. Figures will be saved to output folder.

Software information: 

R version 4.4.1 (2024-06-14)
Platform: x86_64-apple-darwin20
Running under: macOS 15.2

Matrix products: default
BLAS:   /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.4-x86_64/Resources/lib/libRlapack.dylib;  LAPACK version 3.12.0

locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

time zone: America/Chicago
tzcode source: internal

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base    

other attached packages:
 [1] countrycode_1.6.0 lubridate_1.9.3   forcats_1.0.0     stringr_1.5.1     dplyr_1.1.4      
 [6] purrr_1.0.2       readr_2.1.5       tidyr_1.3.1       tibble_3.2.1      tidyverse_2.0.0  
[11] maps_3.4.2.1      MASS_7.3-64       mice_3.17.0       glm.predict_4.3-0 ggplot2_3.5.1    
[16] texreg_1.39.4    

